Parameshwar Dash

National Institute of Technology Rourkela

Papers

Total Citations

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About

Parameshwar Dash is a leading researcher in the fields of manufacturing automation, robotics, and optimization algorithms. His work focuses on developing intelligent computational methods to solve complex industrial problems, particularly in robotic assembly sequence planning. Dash’s most cited paper, “Generation of optimized robotic assembly sequence using ant colony optimization” (2008, 19 citations), introduces a novel application of ant colony optimization (ACO) to minimize assembly cost by optimizing operations, motions, and direction changes. This contribution has been influential in advancing efficient, cost-effective automation in manufacturing. Beyond this, Dash’s research explores the intersection of nature-inspired algorithms and production systems, offering practical solutions for reducing time and resource waste. His work is widely referenced by engineers and researchers seeking to enhance robotic efficiency and adaptability. Dash’s achievements underscore his role in bridging theoretical optimization with real-world manufacturing challenges, making him a respected figure in the robotics and automation community.